Comparative Evaluation of Sensor Devices for Micro-Gestures
| dc.contributor.author | Simmons, H. | en_US |
| dc.contributor.author | Devi, R. | en_US |
| dc.contributor.author | Ens, Barrett | en_US |
| dc.contributor.author | Billinghurst, Mark | en_US |
| dc.contributor.editor | Tony Huang and Arindam Dey | en_US |
| dc.date.accessioned | 2017-11-21T15:42:20Z | |
| dc.date.available | 2017-11-21T15:42:20Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | This paper presents a comparative evaluation of two gesture recognition sensors and their ability to detect small, movements known as micro-gestures. In this work we explore the capabilities of these devices by testing if users can reliably use the sensors to select a target using a simple 1D user interface element. We implemented three distinct gestures, including a large gesture of moving the whole hand up and down; a smaller gesture of moving a finger up and down and; and a small movement of the thumb against the forefinger to represent a virtual slider. Demo participants will be able to experience these three gestures with to sensing devices, a Leap Motion and Google Soli. | en_US |
| dc.description.sectionheaders | Demos | |
| dc.description.seriesinformation | ICAT-EGVE 2017 - Posters and Demos | |
| dc.identifier.doi | 10.2312/egve.20171382 | |
| dc.identifier.isbn | 978-3-03868-052-9 | |
| dc.identifier.pages | 37-38 | |
| dc.identifier.uri | https://doi.org/10.2312/egve.20171382 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egve20171382 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Human | |
| dc.subject | centered computing | |
| dc.subject | Gestural input | |
| dc.title | Comparative Evaluation of Sensor Devices for Micro-Gestures | en_US |
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